Supervised independent component analysis as an alternative method for genomic selection in pigs

Detalhes bibliográficos
Autor(a) principal: Azevedo, C.F.
Data de Publicação: 2014
Outros Autores: Silva, F.F., Resende, M.D.V. de, Lopes, M.S., Duijvesteijn, N., Guimarães, S.E.F., Lopes, P.S., Kelly, M.J., Viana, J.M.S., Knol, E.F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.1111/jbg.12104
http://www.locus.ufv.br/handle/123456789/16058
Resumo: The objective of this work was to evaluate the efficiency of the supervised independent component regression (SICR) method for the estimation of genomic values and the SNP marker effects for boar taint and carcass traits in pigs. The methods were evaluated via the agreement between the predicted genetic values and the corrected phenotypes observed by cross-validation. These values were also compared with other methods generally used for the same purposes, such as RR-BLUP, SPCR, SPLS, ICR, PCR and PLS. The SICR method was found to have the most accurate prediction values.
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spelling Supervised independent component analysis as an alternative method for genomic selection in pigsAccuracySNPAnimal breedingGenomic selectionThe objective of this work was to evaluate the efficiency of the supervised independent component regression (SICR) method for the estimation of genomic values and the SNP marker effects for boar taint and carcass traits in pigs. The methods were evaluated via the agreement between the predicted genetic values and the corrected phenotypes observed by cross-validation. These values were also compared with other methods generally used for the same purposes, such as RR-BLUP, SPCR, SPLS, ICR, PCR and PLS. The SICR method was found to have the most accurate prediction values.Jornal of Breeding and Genetics2018-01-02T12:14:08Z2018-01-02T12:14:08Z2014-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf0931-2668http://dx.doi.org/10.1111/jbg.12104http://www.locus.ufv.br/handle/123456789/16058engv. 131, n. 6, p. 452–461, Dec. 2014Azevedo, C.F.Silva, F.F.Resende, M.D.V. deLopes, M.S.Duijvesteijn, N.Guimarães, S.E.F.Lopes, P.S.Kelly, M.J.Viana, J.M.S.Knol, E.F.info:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T08:02:55Zoai:locus.ufv.br:123456789/16058Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T08:02:55LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Supervised independent component analysis as an alternative method for genomic selection in pigs
title Supervised independent component analysis as an alternative method for genomic selection in pigs
spellingShingle Supervised independent component analysis as an alternative method for genomic selection in pigs
Azevedo, C.F.
Accuracy
SNP
Animal breeding
Genomic selection
title_short Supervised independent component analysis as an alternative method for genomic selection in pigs
title_full Supervised independent component analysis as an alternative method for genomic selection in pigs
title_fullStr Supervised independent component analysis as an alternative method for genomic selection in pigs
title_full_unstemmed Supervised independent component analysis as an alternative method for genomic selection in pigs
title_sort Supervised independent component analysis as an alternative method for genomic selection in pigs
author Azevedo, C.F.
author_facet Azevedo, C.F.
Silva, F.F.
Resende, M.D.V. de
Lopes, M.S.
Duijvesteijn, N.
Guimarães, S.E.F.
Lopes, P.S.
Kelly, M.J.
Viana, J.M.S.
Knol, E.F.
author_role author
author2 Silva, F.F.
Resende, M.D.V. de
Lopes, M.S.
Duijvesteijn, N.
Guimarães, S.E.F.
Lopes, P.S.
Kelly, M.J.
Viana, J.M.S.
Knol, E.F.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Azevedo, C.F.
Silva, F.F.
Resende, M.D.V. de
Lopes, M.S.
Duijvesteijn, N.
Guimarães, S.E.F.
Lopes, P.S.
Kelly, M.J.
Viana, J.M.S.
Knol, E.F.
dc.subject.por.fl_str_mv Accuracy
SNP
Animal breeding
Genomic selection
topic Accuracy
SNP
Animal breeding
Genomic selection
description The objective of this work was to evaluate the efficiency of the supervised independent component regression (SICR) method for the estimation of genomic values and the SNP marker effects for boar taint and carcass traits in pigs. The methods were evaluated via the agreement between the predicted genetic values and the corrected phenotypes observed by cross-validation. These values were also compared with other methods generally used for the same purposes, such as RR-BLUP, SPCR, SPLS, ICR, PCR and PLS. The SICR method was found to have the most accurate prediction values.
publishDate 2014
dc.date.none.fl_str_mv 2014-12
2018-01-02T12:14:08Z
2018-01-02T12:14:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv 0931-2668
http://dx.doi.org/10.1111/jbg.12104
http://www.locus.ufv.br/handle/123456789/16058
identifier_str_mv 0931-2668
url http://dx.doi.org/10.1111/jbg.12104
http://www.locus.ufv.br/handle/123456789/16058
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv v. 131, n. 6, p. 452–461, Dec. 2014
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Jornal of Breeding and Genetics
publisher.none.fl_str_mv Jornal of Breeding and Genetics
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str LOCUS Repositório Institucional da UFV
collection LOCUS Repositório Institucional da UFV
repository.name.fl_str_mv LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv fabiojreis@ufv.br
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